108
108
Dec 5, 2014
12/14
by
Anthony J Bell
movies
eye 108
favorite 0
comment 0
Guest lecture by Dr.Anthony J Bell for the Neural Computation class -- VS265 for Fall 2014 on ICA.
Topics: VS265, Redwood Center, ICA
70
70
Nov 22, 2014
11/14
by
Bruno Olshausen
movies
eye 70
favorite 0
comment 0
Recording of lecture for the VS265 class discussing probabilistic models
Topics: VS265, Redwood Center, Probabilistic Models
55
55
Nov 16, 2014
11/14
by
Bruno Olshausen
movies
eye 55
favorite 0
comment 0
This is a recorded lecture for the VS265 class for the date of November 13th, Fall 2014. The speaker is Prof.Bruno Olshausen.
Topics: VS265, Redwood Center, Fall 2014
1,157
1.2K
Mar 7, 2006
03/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,157
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 02/21/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
521
521
Apr 24, 2007
04/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 521
favorite 2
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on April 24, 2007. Speaker is Jeff Johnson, UC Davis.
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
609
609
May 3, 2006
05/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 609
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 04/11/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
50
50
Dec 10, 2014
12/14
by
Bruno Olshausen
movies
eye 50
favorite 0
comment 0
This is the last lecture by Prof.Olshausen for the VS265 class. Topics covered were on Kalman Filters, Spiking neurons and a few other interesting pieces of information.
Topics: VS265, Redwood Center, Spikes, Kalman Filters, HMM
729
729
Feb 21, 2006
02/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 729
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 11/29/05 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
1,047
1.0K
Apr 17, 2007
04/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,047
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on February 20, 2007. Speaker is Yair Weiss from Hebrew University, Jerusalem. Abstract: Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non Gaussian, high dimensional, continuous signals, learning their distribution presents a tremendous computational challenge. Perhaps the most...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
440
440
Nov 14, 2006
11/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 440
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on November 7, 2006. Speaker is Mitya Chklovskii, Cold Spring Harbor Laboratory. NOTE: Due to technical problems, the first minute or so of the talk was not recorded.
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
132
132
Nov 20, 2014
11/14
by
Bruno Olshausen
movies
eye 132
favorite 0
comment 0
This is a recording of the lecture from Prof.Bruno Olshasuen's class for the VS265 class, held at UC Berkeley. This lecture had some technical issues and the sound is missing for the first few minutes of the lecture.
Topics: VS265, Fall14, Redwood Center, Bruno Olshausen
581
581
Oct 26, 2006
10/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 581
favorite 1
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on August 1, 2006. Speaker is Carol Whitney, Carol Whitney of the University of Maryland. Abstract .
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
917
917
Sep 28, 2006
09/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 917
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 09/19/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
602
602
May 3, 2006
05/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 602
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 04/10/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
456
456
Apr 17, 2007
04/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 456
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on April 17, 2007. Speaker is Steve Waydo from the California Institute of Technology. Abstract: Neurons have been identified in the human medial temporal lobe (MTL) that display a strong selectivity for only a few stimuli (such as familiar individuals or landmark buildings) out of perhaps 100 presented to the test subject (Quian Quiroga et al., Nature 2005). While highly selective for a particular object or...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley
173
173
Nov 1, 2014
11/14
by
Bruno Olshausen
movies
eye 173
favorite 0
comment 0
This is a recorded lecture given by Prof.Bruno Olshausen as part of the VS265 class taught at UC Berkeley.
Topics: VS265, Neural Computation, UC Berkeley, Redwood Center
83
83
Oct 29, 2014
10/14
by
Bruno Olshausen
movies
eye 83
favorite 0
comment 0
This is a lecture by Prof.Bruno Olshausen's for the VS265 class.
Topics: VS265, Redwood Center, Sparse Coding, Class Projects
1,104
1.1K
Feb 19, 2006
02/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,104
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 12/13/05 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
978
978
Dec 6, 2006
12/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 978
favorite 2
comment 1
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on December 5, 2006. Speaker is Tanya Baker from the University of Chicago. Abstract: The dynamics of large networks of spiking neurons resembles closely that of forest fires. During such events forests contain green, burned and burning trees; likewise neural networks contain sensitive, refractory and activated neurons. We show how models of neuronal activity, both as standard forest fires as well as networks...
favoritefavoritefavorite ( 1 reviews )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
995
995
Jan 23, 2007
01/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 995
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on January 23, 2007. Speaker is Giuseppe Vitiello, Department of Physics “E.R.Caianiello”, Salerno University. Title: Relations between many-body physics and nonlinear brain dynamics Abstract: In a recent paper [1] it has been proposed a many-body model of nonlinear brain dynamics based on the thesis that mammalian neocortex supports dynamics sufficiently similar to the one of cooperative domains, such as...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
1,061
1.1K
Apr 4, 2006
04/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,061
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 03/15/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
7,348
7.3K
Feb 19, 2006
02/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 7,348
favorite 2
comment 1
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 02/14/06 ( abstract )
favoritefavoritefavoritefavorite ( 1 reviews )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
142
142
Oct 24, 2014
10/14
by
Bruno Olshausen
movies
eye 142
favorite 0
comment 0
This is a recorded lecture from the VS265 class where Prof.Olshausen talks about sparse representations.
Topics: VS265, Redwood Center, Bruno Olshausen, Sparse Representations
50
50
Sep 26, 2014
09/14
by
Prof.Bruno Olshausen
movies
eye 50
favorite 0
comment 1
Lecture from the VS265 class taught by Prof.Bruno Olshausen on efficient coding and other ideas.
( 1 reviews )
Topics: VS265, Redwood Center, Bruno Olshausen, Neural Computation
656
656
Nov 21, 2006
11/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 656
favorite 1
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on November 11, 2006 by Andrew Straw, Bioengineering, California Institute of Technology. Abstract: Control theory provides a formal framework to understand feedback-based control, and is a tool neuroscientists may employ as they seek to understand animal behavior and physiology in a closed-loop context within the environment. Flight behavior of the fruit fly Drosophila, because of its robust and...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
828
828
May 3, 2006
05/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 828
favorite 1
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 04/18/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
1,312
1.3K
Feb 15, 2006
02/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,312
favorite 0
comment 0
This is part 1 of the debate: "Waves or words in cortex?" at the Redwood Center for Theoretical Neuroscience (12/06/05) abstract
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
Source: http://redwood.berkeley.edu/seminar-info.php?id=15
293
293
Sep 19, 2014
09/14
by
Bruno Olshausen
movies
eye 293
favorite 0
comment 0
This is a recorded lecture given by Prof.Bruno Olshausen as part of the VS265 class taught at UC Berkeley.
Topics: VS265, Neural Computation, UC Berkeley, Redwood Center
291
291
Dec 13, 2007
12/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 291
favorite 0
comment 0
Talk by Todd Horowitz of Harvard Medical School for the Redwood Center for Theoretical Neuroscience, on November 30, 2007 at UC-Berkeley. Abstract: Much of our current understanding of visual attention is built on experimental paradigms that can be characterized as either static or as a series of brief, discontinuous snapshots. However, in our everyday environment, objects around us move smoothly, or we move with respect to the environment. Recent research has tried to capture dynamic and...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley
727
727
Feb 21, 2006
02/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 727
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 01/17/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
858
858
Apr 4, 2006
04/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 858
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on 03/14/06 ( abstract )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
634
634
Mar 6, 2007
03/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 634
favorite 1
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience , UC Berkeley on March 6, 2007. Speaker is Pietro Perona, from the California Institute of Technology.
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Vision
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611
movies
eye 611
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on September 5, 2006. Speaker is Tom Griffiths, a member of the Psychology and Cognitive Science departments, UC Berkeley.
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
527
527
Dec 13, 2007
12/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 527
favorite 0
comment 0
This is a talk given by Geoff Hinton, Dept. of Computer Science, University of Toronto, at the Redwood Center for Theoretical Neuroscience on November 27, 2007. Abstract. Neurons need to represent both the presence of a feature in the sensory input and the derivative of an error function with respect to the neural activity. I will describe a simple way in which they can represent both of these very different quantities at the same time and show that this representational scheme would make it...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley
580
580
Oct 30, 2007
10/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 580
favorite 0
comment 1
This is last half of a talk given to the Statistics Dept. at UC-Berkeley by Liam Paninski of Columbia Univesrity on Oct 24, 2007. Unfortunately, the first half was not recorded because of technical problems. Sorry! Abstract: There are two basic problems in the statistical analysis of neural data. The ``encoding'' problem concerns how information is encoded in neural spike trains: can we predict the responses of a neuron (or population of neurons), given an arbitrary stimulus or observed motor...
( 1 reviews )
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley
1,693
1.7K
Mar 20, 2007
03/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 1,693
favorite 2
comment 1
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on March 20, 2007. Speaker is Jeff Hawkins of Numenta Inc. Abstract: Jeff Hawkins and Dileep George have proposed a theoretical framework for how the hierarchical structure of neocortex builds a model of the world. This theory, called Hierarchical Temporal Memory (HTM) has been turned into a technology platform and is currently being applied to varied problems of pattern discovery and inference by their company...
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Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
601
601
Mar 1, 2007
03/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 601
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on March 1, 2007. Speaker is Hiroki Asari, Watson School of Biological Sciences, Cold Spring Harbor Laboratory. Abstract: A striking feature of many sensory processing problems is that there appear to be many more neurons engaged in the internal representations of the signal than in its transduction. For example, humans have about 30,000 cochlear neurons, but at least a thousand times as many neurons in the...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley
486
486
Oct 26, 2006
10/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 486
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on October 10, 2006. Speaker is James L. McClelland of Mind, Brain & Computation/MBC, Psychology Department, Stanford University. Abstract.
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
852
852
Oct 25, 2006
10/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 852
favorite 1
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on September 5, 2006. Speaker is Peter Latham of Gatsby Computational Neuroscience Unit, University College London. Abstract: A major open question in neuroscience is: "what's the neural code?". The standard approach to answering this, pioneered by Richmond and Optican almost two decades ago [1], is to record spike trains and compute information under different coding models. Unfortunately, this...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar
66
66
Nov 7, 2014
11/14
by
Bruno Olshausen
movies
eye 66
favorite 0
comment 0
This is a lecture in the VS265 class during the Fall semester 2014. This lecture covered topics in manifold learning and attractor networks.
Topics: VS265, Redwood Center, Manifold learning, Attractor Networks, Adaptation
728
728
May 11, 2007
05/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 728
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on May 8, 2007. Speaker is Lokendra Shastri from ICSI (International Computer Science Institute) and UC Berkeley. http://www.icsi.berkeley.edu/~shastri/ . Abstract: We readily remember events and situations in our daily lives and acquire memories of specific facts by watching a telecast or reading a newspaper. This one-shot mnemonic ability poses a challenge for computational neuroscience: How does the brain...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Hippocampus, Memory
1,685
1.7K
Feb 16, 2006
02/06
by
Redwood Center
movies
eye 1,685
favorite 0
comment 0
This is part 2 of the debate: "Waves or words in cortex?" at the Redwood Center for Theoretical Neuroscience (12/06/05) abstract
Topics: Theoretical Neuroscience, Redwood Center for Theoretical Neuroscience, UC Berkeley, Seminar
Source: http://redwood.berkeley.edu/seminar-info.php?id=14
80
80
Nov 26, 2014
11/14
by
Bruno Olshausen
movies
eye 80
favorite 0
comment 0
In this lecture Prof.Olshausen covered topics on Bayesian theory and introduces the idea of Boltzman machines and Mixture of Gaussians.
Topics: VS265, Fall14, Redwood Center, Bayes Rule, MOG, Boltzman Machine
78
78
Nov 5, 2014
11/14
by
Bruno Olshausen
movies
eye 78
favorite 0
comment 0
Recorded lecture for the VS265 class for the fall semester 2014 on November 4th. The lecture mostly covered self-organization maps and ocular dominance columns.
Topics: VS265, Ocular Dominance, Self-Organization Maps, Redwood Center
635
635
Feb 14, 2007
02/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 635
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on February 13, 2007. Speaker Tobi Delbruck, from the Institute of Neuroinformatics, UNI-ETH Zurich. Full title: Building a high-performance event-based silicon retina leads to new ways to compute vision. Abstract: This talk will describe recent developments in building a high quality spike-based temporal contrast silicon retina vision sensor and using it for vision in real-world situations. The vision sensor...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar, Retina
751
751
Nov 28, 2006
11/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 751
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on November 28, 2006. Speaker is Thomas Dean from Brown University and Google. Talk announcement . Title: Learning Invariant Features Using Inertial Priors, or "Why Google might want to be in the neocortex business?" Abstract: We address the technical challenges involved in combining key features from several theories of the visual cortex in a single computational model. The resulting model is a...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar, Cortex, Google
528
528
Nov 21, 2006
11/06
by
Redwood Center for Theoretical Neuroscience
movies
eye 528
favorite 0
comment 0
This is a talk given at the Redwood Center for Theoretical Neuroscience, UC Berkeley on November 11, 2006 by Urs Köster from the University of Helsinki. Abstract: Since the discovery of Simple and Complex cells in primary visual cortex, which have easily visualized receptive fields, efforts have been made to build models that show the emergence of similar features using unsupervised learning techniques applied to natural image data. Here we discuss recent work on extending single layer models...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Seminar, Vision
96
96
Dec 3, 2014
12/14
by
Bruno Olshausen
movies
eye 96
favorite 0
comment 0
This is a lecture by Prof.Olshausen on Mixture of Gaussians, Boltzman Machines and Restricted Boltzman Machines. The general theme describes the importance of higher order correlation (structure) in data.
Topics: VS265, Fall14, Redwood Center, Boltzman Machines, RBMs, MOGs
5,082
5.1K
Oct 29, 2007
10/07
by
Redwood Center for Theoretical Neuroscience
movies
eye 5,082
favorite 0
comment 0
Talk given Monday 29th of October 2007, at the Redwood Center for Theoretical Neuroscience at UC-Berkeley. Speaker is Laurenz Wiskott of the Bernstein Center for Computational Neuroscience and Institute for Theoretical Biology, Humboldt-University Berlin. Abstract: Slow Feature Analysis (SFA) is an algorithm for extracting slowly varying features from a quickly varying signal. We have applied SFA to the learning of complex cell receptive fields, visual invariances for whole objects, and place...
Topics: Theoretical Neuroscience, Redwood Center, UC Berkeley, Hippocampus, Memory
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